Trustworthy and Responsible AI

ORAILIX studies the correctness, confidentiality and accountability failures of modern AI systems, memorisation, hallucination, interpretability, extraction attacks, and builds auditable primitives operators and regulators can rely on. Anchored by the Chaire Trusted and Responsible AI with Crédit Agricole at École Polytechnique.